# Bad Influence story: Epoch AI introduces Inference Performance Index for comparing AI chip serving capacity

Active · 2 articles · 2 sources · First reported 11-08 19:00. Times are ET.
Story page: https://badinfluence.news/story/d21d3fe6-1adf-45ed-a9a5-63a83d7d6dfb

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[Bad Influence external source material begins]
Latest update (11-09 14:06): Epoch AI introduces an Inference Performance Index for AI chips

Overview: Epoch AI introduces the Inference Performance Index (IPI), a measure that scores chips by how many agentic requests they can serve at once across output speeds of 50 to 400 tokens per second per request. Epoch says the index is needed because raw arithmetic throughput does not capture what matters for inference.

Using the IPI, Epoch estimates that Nvidia's GB300 offers about 25 times the inference capacity per chip of the H100 on the modeled workloads. That compares with a 2.5 times gain in 8-bit FLOP/s, which Epoch attributes to memory and inter-chip communication mattering more than arithmetic throughput. A later Epoch post on X says the index accounts for memory bandwidth and inter-chip communication alongside compute, and that FLOP/s alone understates GB300's advantage over H100 by 10 times. That post says IPI scores are expressed in GB300 equivalents and can be used to estimate a data center's total inference capacity.

Coverage timeline (newest first):
1. 11-09 14:06 · Epoch AI · [Epoch AI introduces an Inference Performance Index for AI chips](https://badinfluence.news/items/p6fzdjyw33gqqwzvbhalvhwa6)
2. 11-08 19:00 · Epoch AI (from the company) · [Epoch AI introduces an Inference Performance Index for comparing chip capacity](https://badinfluence.news/items/m91m61ujv1i1ml3rdty22an46)
[Bad Influence external source material ends]

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